Active Inference LiveStream 056.2 Neural Generative Coding, Active Inference, and Mortal Computatio

Second participatory group discussion on the paper "The neural coding
framework for learning generative models" Alexander Ororbia & Daniel Kifer
(2022) https://www.nature.com/articles/s4146... "Convolutional Neural
Generative Coding: Scaling Predictive Coding to Natural Images" Alexander
Ororbia, Ankur Mali (2023) https://arxiv.org/abs/2211.12047 "Spiking neural
predictive coding for continually learning from data streams" Alexander
Ororbia (2023) https://www.sciencedirect.com/science... "CogNGen: Constructing
the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture"
Alexander Ororbia, M. Alex Kelly (2023)
https://escholarship.org/uc/item/35j3... https://arxiv.org/abs/2311.09589
[Submitted on 16 Nov 2023] Mortal Computation: A Foundation for Biomimetic
Intelligence Alexander Ororbia, Karl Friston This review motivates and
synthesizes research efforts in neuroscience-inspired artificial intelligence
and biomimetic computing in terms of mortal computation. Specifically, we
characterize the notion of mortality by recasting ideas in biophysics,
cybernetics, and cognitive science in terms of a theoretical foundation for
sentient behavior. We frame the mortal computation thesis through the Markov
blanket formalism and the circular causality entailed by inference, learning,
and selection. The ensuing framework -- underwritten by the free energy
principle -- could prove useful for guiding the construction of unconventional
connectionist computational systems, neuromorphic intelligence, and chimeric
agents, including sentient organoids, which stand to revolutionize the long-
term future of embodied, enactive artificial intelligence and cognition
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